var_test1: Two sided or one sided test of hypothesis of 'sigma^2' of one...

In OneTwoSamples: Deal with One and Two (Normal) Samples

Two sided or one sided test of hypothesis of sigma^2 of one normal sample

Description

Compute the two sided or one sided test of hypothesis of sigma^2 of one normal sample when the population mean is known or unknown.

Usage

var_test1(x, sigma2 = 1, mu = Inf, side = 0)

Arguments

x	A numeric vector.
sigma2	sigma2 is sigma0^2 in the null hypothesis. Default is 1, i.e., H0: sigma^2 = 1.
mu	The population mean. mu < Inf indicates it is known, mu == Inf indicates it is unknown. Default to unknown population mean.
side	A parameter used to control two sided or one sided test of hypothesis. When inputting side = 0 (default), the function computes two sided test of hypothesis, and H1: sigma^2 != sigma0^2; when inputting side = -1 (or a number < 0), the function computes one sided test of hypothesis, and H1: sigma^2 < sigma0^2; when inputting side = 1 (or a number > 0), the function computes one sided test of hypothesis, and H1: sigma^2 > sigma0^2.

Value

A data.frame with variables:

var	The estimate of the population variance. When the population mean mu is known, var = mean((x-mu)^2). When mu is unknown, var = var(x).
df	The degree of freedom.
chisq2	The chisquare statistic.
p_value	The P value.

Author(s)

Ying-Ying Zhang (Robert) [e-mail]

References

Zhang, Y. Y., Wei, Y. (2013), One and two samples using only an R funtion, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2991/asshm-13.2013.29")}.

Examples

x=rnorm(10, mean = 1, sd = 0.2); x
var_test1(x, sigma2 = 0.2^2, mu = 1, side = 1)
var_test1(x, sigma2 = 0.2^2, side = 1)

OneTwoSamples documentation built on March 31, 2023, 11:49 p.m.